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49 results for “measurement error”
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Research ArticleOpen accessIn the abstractDropping down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship InvestigationTareef Kamil Mustafa, Norwati Mustapha, Masrah Azrifah Azmi, Nasir B. SulaimanProblem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing that no other writer has; thus, authorship attribution is the … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge Representation of Ion-Sensitive Field-Effect Transistor Voltage Response for Potassium Ion Concentration Detection in Mixed Potassium/Ammonium Ion SolutionsWan Fazlida Hanim Abdullah, Mohd Alaudin Mohd Ali, Md Shabiul Islam, Masuri OthmanProblem statement: The Ion-Sensitive Field-Effect Transistor (ISFET) is a metal-oxide field-effect transistor-based sensor that reacts to ionic activity at the electrolye/membrane/gate interface. The ionic sensor faces issue of selectivity from interfering ions that contribute to the sensor electrical response in mixed solutions. Approach: We present the training data collection of ISFET voltage response for the purpose of post-processing stage neural … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow-Noise High-Accuracy TOF Laser Range FinderShahram Mohammad Nejad, Saeed OlyaeeThis paper presents a new low-noise high-accuracy laser range finder based on the Time-Of-Flight (TOF) method. A Q-switched Nd:YAG laser at 1064 nm as a source and a SLIK avalanche photodiode as a detector are used. The optical section of the system including ZnS/MgF2 optical filter, designed by C++ and Zemax software, has been successfully implemented and tested. The quality … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 7,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,080 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarth-To-Space Improved Model for Rain Attenuation Prediction at Ku-BandMandeep Singh Jit Singh, S. S.I. Hassan, M. F. Ain et al.A model for predicting rain attenuation on earth-to-space was developed by using the measurement data obtained from tropical and equatorial region. The proposed rain attenuation model uses the complete rainfall rate cumulative distribution as input data. It was shown that significant improvements in terms of prediction error over existing attenuation model obtained. …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Aug 2006 · 6,729 accessesView PDFCite
Review ArticleOpen accessIn the abstractEnhancement of GPS Position Accuracy Using Machine Vision and Deep Learning TechniquesAshwani Kumar AggarwalThe accuracy of GPS position estimation in urban cities is an issue which need to be resolved using machine vision and deep learning techniques. The accuracy of GPS in horizontal direction is better than in the vertical direction. Although for most of the navigation applications in intelligent transportation systems, horizontal positioning accuracy is vital, but vertical position accuracy gives idea … …Journal of Computer Science, Vol. 16, Issue 5 · 25 May 2020 · 18,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractPiecewise Positivity Preserving Cubic Bezier Interpolation for Estimating Solar Radiation Missing Value in Penang, MalaysiaAzizan Saaban, Mohd Lutfi Zainudin, Mohd Nazari Abu BakarComplete solar radiation data is important in variety of disciplines such as solar radiation development system or solar project which is strongly affected by hourly variation of the solar radiation. However, the available data may contain missing data for several days in the absence of measurement due to several factors such as instrument failure and human errors. In this study, … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 28 Dec 2016 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpline Smoothing for Multi-Response Nonparametric Regression Model in Case of Heteroscedasticity of VarianceBudi Lestari, I. Nyoman Budiantara, Sony Sunaryo, Muhammad MashuriProblem statement: Assume that data (yki, tki), k = 1,2,…, p; i = 1,2,…,nk where nk represents the number of repeated measurement of kth object follows multi-response nonparametric regression model with variances of errors are heteroscedastic. Nonparametric regression curves are unknown and assumed to be smooth which are contained in Sobolev space. Random Errors are independent and normally distributed with … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 13 Oct 2012 · 7,960 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermo-Acoustic Water Analyzer in Hydrocarbon Emulsions with Kalman FilterMohammad A. Al-Khedher, Tariq M. Younes, Mohammad A.K. AliaProblem statement: Water detection in hydrocarbon emulsions represents a serious challenge in petroleum production industry. The elemenation of measurment noises is also desired. Approach: In this study, a systematic and an applicable method of water detection in hydrocarbon emulsion is achieved using thermoacoustic effect. A Kalman filter is applied to correct measurement errors and to improve accuracy. Results: The study … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 6 Mar 2012 · 7,320 accessesView PDFCite